For years engineers have relied on encryption at rest and transit to help protect sensitive data. However, historically data needs to be decrypted to actually use it, which risks the potential exposure of the underlying data. Confidential computing is a computing paradigm that aims to protect data in use, not just data in transit or at rest. The goal of confidential computing is to provide a secure computing environment where sensitive data can be processed without the risk of exposure or compromise.
AWS Nitro Enclaves is a service provided by Amazon Web Services (AWS) that enables customers to create isolated compute environments within their Amazon Elastic Compute Cloud (EC2) instances. In a Nitro Enclave, the application code and data are encrypted and processed inside the enclave, ensuring that they are protected from both the hypervisor and the host operating system. This makes Nitro Enclaves ideal for workloads that require a high level of security, such as confidential computing, secure machine learning, and blockchain-based applications.
Arvind Raghu, Principal Specialist in EC2 and Confidential Computing at AWS, joins the show to explain confidential computing, AWS Nitro Enclaves, and the use cases this technology unlocks.
Ram Muthukrishnan, Senior Product Manager at Skyflow, joins the show to delve into the fundamental aspects of data protection. Ram demystified key concepts like redaction, masking, and encryption, shedding light on their significance in the world of data protection.
In this episode, we dive into the realm of cloud security with Merritt Baer, Field CISO of Lacework. Together, we look at the complex tapestry of perceptions surrounding on-premises security versus the cloud, shedding light on why some still view on-prem as the safer option.
In this episode, we explore the world of General Data Protection Regulation (GDPR) Catawiki’s Data Protection Lead Paul Breitbarth. We cover GDPR's history, business essentials, compliance significance, and the art of harmonizing business objectives with regulatory demands.